code: def test_jax_norm(
      dtype_values_axis,
      keepdims,
      ord,
      frontend,
      test_flags,
      fn_tree,
      on_device,
      backend_fw,
  ):
      dtype, x, axis = dtype_values_axis
  
      if len(np.shape(x)) == 1:
          axis = None
  
      helpers.test_frontend_function(
          input_dtypes=dtype,
          frontend=frontend,
          test_flags=test_flags,
          backend_to_test=backend_fw,
          fn_tree=fn_tree,
          on_device=on_device,
          x=x[0],
          ord=ord,
          axis=axis,
          keepdims=keepdims,
          atol=1e-1,
          rtol=1e-1,
      )
  
imports: import sys
  import numpy
  from hypothesis import strategies, assume
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import assert_all_close, handle_frontend_test, BackendHandler
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _get_dtype_and_matrix, _matrix_rank_helper
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
label_desc: Use image node_id 16 for calling a global function with example usage: test_jax_norm(dtype_values_axis, keepdims, ord, frontend, test_flags, fn_tree, on_device, backend_fw) without return types